polygons

I use R to project some data flows on a world map using great circles form ggplot2. I would like to also project on my map also urban areas from: http://www.naturalearthdata.com/downloads/ These are however in a SpatialPointsDataFrame. Perhaps my question is trivial, but I don't know how to change the file into SpatialPolygons. My code goes as follows: urbanareasin <- readShapePoly("//....//ne_10m_populated_places//ne_10m_populated_places.shp") simp<-gSimplify(urbanareasin, tol=0.1) urbanareas<-ggplot2:::fortify(simp) I tried also: urbanareas<-fortify.SpatialPolygonsDataFrame(simp) and:

I'm trying to show and remove polygons onto a Google Map, using v3 of the API. In my JavaScript, I've already got an MVCArray of some custom Lat-Longs. I'm trying to figure out how to add these polygons and then, based upon some other JavaScript event or user action, such as a click on a polygon (that has been rendered), that polygon will be removed. Can someone help? Any code or links to examples? I'm struggling to find some examples. Most of them usually go to some v2 code. In the API docs, there are a couple of simple examples of adding a polygon to a map . Here's the initialize() function

I am using clipper for performing a bunch of operations on polygons which represent the outlines of objects in my program. The thing is, I now want to clip a grid of line segments to fill these outlines but I am struggling to do this with Clipper. At the moment I am converting my lines to rectangles with a thickness of 2 units which I then do an intersection operation with and then finally I need to revert the new polygons back to line segments. This is quite inefficient though and produces quite a few errors. Can this be done with Clipper, if not is there something else that I can use or do I

I am working with the leaflet R package. I have a zoning system made of polygons and I'd like to lay their IDs on top of them. Below is an illustration (with another software) of my objective. Thanks for your suggestions! Since there is no reproducible data, I decided to use one of my previous posts related to leaflet. There are two things you want to take away from this post: 1) you need to create a data frame containing center points of target regions, 2) you need to use addLabelOnlyMarkers() . You can achieve the first thing using gCentroid() . I added row names of the polygon data set (UK)

cannot fix my problem for MULTIPLE filters/polygons. Currently my code works, but very slow, I do not use observe(), reactive(), and LeafletProxy() , because I stumbled. I obviously checked this answer Changing Leaflet map according to input without redrawing and this one Making Shiny UI Adjustments Without Redrawing Leaflet Maps and leaflet tutorial Using Leaflet with Shiny In my case I have four filters and do not quite understand how to combine them together and make the map fast. My sample data: Country Client Channel Status Country 1 Client 1 Agent network Launched Country 2 Client 2

I have a bunch of cross plots with two sets of data and have been looking for a matploltib way of highlighting their plotted regions with smoothed polygon outlines. At the moment i just use Adobe Illustrator and amend saved plot, but this is not ideal. Example: I'd be grateful for any pointers/links to examples. Cheers Pablo Here, you have an example. I was written the main ideas, but obviously, you could do it better. A short explanations: 1) You need to compute the convex-hull ( http://en.wikipedia.org/wiki/Convex_hull ) 2) With the hull, you could scale it to keep all your data inside. 3)

I'm using python and matplotlib to create several closed polygons. I then need to fill them with a hatch, which can be done through set_hatch. http://matplotlib.org/api/artist_api.html#matplotlib.patches.Patch.set_hatch http://matplotlib.org/examples/pylab_examples/hatch_demo.html Unfortunately I am working with greyscale images, and I need more hatches than provided by default - I would prefer to provide a bitmap (or some similar image) which could be tiled instead of using these hatches with varying densities. I am open to other python libraries (pyglet, pygame, PIL, etc) however I would